3 papers
cs.LG2025
Predicting Human Choice Between Textually Described Lotteries
Eyal Marantz, Ori Plonsky
Predicting human decision-making under risk and uncertainty is a long-standing challenge in cognitive science, economics, and AI. While prior research has focused on numerically de…
cs.AI2025
Predicting human decisions with behavioral theories and machine learning
Ori Plonsky, Reut Apel, Eyal Ert +9
Predicting human decisions under risk and uncertainty remains a fundamental challenge across disciplines. Existing models often struggle even in highly stylized tasks like choice b…
cs.AI2025
LLM Agents Display Human Biases but Exhibit Distinct Learning Patterns
Idan Horowitz, Ori Plonsky
We investigate the choice patterns of Large Language Models (LLMs) in the context of Decisions from Experience tasks that involve repeated choice and learning from feedback, and co…